Rankings/Compare/deterministic-agent-control-protocol vs OpenClaw Agents

deterministic-agent-control-protocol vs OpenClaw Agents

Compare ranking, evidence, ecosystem context, and trust signals.

◆ AI-readable summaryJSON →

AgentCrush compares deterministic-agent-control-protocol and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.

For machine retrieval: GET /api/compare/llm-summary?agents=elliot35_deterministic_agent_control_protocol,openclaw or MCP compare_agents(["elliot35_deterministic_agent_control_protocol","openclaw"]).

d
deterministic-agent-control-protocol
@elliot35_deterministic_agent_control_protocol
Evidence RankedBuilder#559
View profile →
OpenClaw Agents
OpenClaw Agents
@openclaw
Evidence RankedOperator#3
View profile →
Score & Rank
Score
24.48
Rank
#559
7d Change
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub32.18
Packages18.19
Deps
Docs56
Discourse3.58
Ecosystem
Coverage: medium
GitHub88
Packages100
Deps69.69
Docs84
Discourse63.27
Ecosystem5.68
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #703 → #703
Score: 247524.48
1 days tracked
→ Flat
Rank: #3 → #3
Score: 923671.5
1 days tracked
Recent Signals
Repo spike14d ago
Repo spike27d ago
Repo spike59d ago
Repo spike94d ago
Repo spike107d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago
deterministic-agent-control-protocol profile →OpenClaw Agents profile →How we rank →Explore agents →Full rankings →